The DOI matches its Crossref record.
Motivating employees for environmental improvement
Abstract
This paper presents a theoretical framework for environmental performance by looking at the crucial employer and employee factors affecting environmental performance. The model focuses on the integration between top management commitment, employee empowerment, rewards, feedback and review, and environmental performance. Suggestions for managers on implementing core concepts from the model, in addition to the challenges they may encounter are discussed throughout the article.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Green Human Resource Management: A Review and Research Agenda*
Renwick, D. W. S., Redman, T., & Maguire, S. (2013) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2011.00328.x · Cited by 2,586
Green human resource management practices: scale development and validity
Tang, G., Chen, Y., Jiang, Y., Paillé, P., & Jia, J. (2018) · Asia Pacific Journal of Human Resources · doi:10.1111/1744-7941.12147 · Cited by 1,082
Green Human Resource Management: Policies and practices
Ahmad, S. (2015) · Cogent Business & Management · doi:10.1080/23311975.2015.1030817 · Cited by 901
Mousa, S. K., & Othman, M. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118595 · Cited by 753
A systematic review on green human resource management: Implications for social sustainability
Amrutha, V. N., & Geetha, S. N. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119131 · Cited by 685
Metadata
- Authors
- Govindarajulu, N., & Daily, B. F.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2004-05-01
- Volume
- 104
- Issue
- 4
- Pages
- 364-372
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2052254648
- Cited by
- 664
- References
- 0
- FWCI
- 16.70
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Motivating employees for environmental improvement. https://app.cochat.ai/papers/10.1108/02635570410530775
- The paper
- Govindarajulu, N., & Daily, B. F. (2004). Motivating employees for environmental improvement. Industrial Management & Data Systems. https://doi.org/10.1108/02635570410530775
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
